Protection system for induction motor based on Sugeno Inference

• Autorzy: Achou Nadia , Tandjaoui Mohammed Nasser , Benachaiba Chellali , Bendjebbar Mokhtar

Identyfikatory

DOI

10.15199/48.2020.03.30

Warianty tytułu

PL

Zabezpieczenie silnika indukcyjnego przy wykorzystaniu systemu Sugeno Inference

• Języki publikacji: EN

Abstrakty

EN

The induction motor is a most important drive in the production area. These motors are used in various industrial applications. They can be protected from the different mechanical and electrical faults using different protection systems. The protection is very important to detect abnormal motor running conditions such as over current, over voltage, overload, over temperature, and unbalance conditions. In the classical protection systems, the time delay is adjusted constantly without considering the fault level. This paper presents protection system for induction motor based on Sugeno Inference. The time delay is computed by this intelligent protection for different faults. The obtained results are interesting and show the interest of the proposed intelligent protection.

PL

W artykule zaprezentowano system zabezpieczeń silnika indukcyjnego bazujący na Sugeno Inference. Określano opóźnienie czasowe dla różnych rodzajów błędów. W stosunku do istniejących systemów proponowany system umożliwia bardziej precyzyjne określenie błędów.

Słowa kluczowe

EN

Induction motor protection; fuzzy logic; sugeno inference; overvoltage; overcurrent; time delay

PL

silnik indukcyjny; detekcja błędów silnika; Sugeno Inference

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2020
• Tom: R. 96, nr 3
• Strony: 138--141
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Achou Nadia

• University of Sciences and Technology of Oran (USTO), Algeria

autor

Tandjaoui Mohammed Nasser

• University of Sciences and Technology of Oran (USTO), Algeria

autor

Benachaiba Chellali

• University of Sciences and Technology of Oran (USTO), Algeria

autor

Bendjebbar Mokhtar

• University of Sciences and Technology of Oran (USTO), Algeria

Bibliografia

• [1] Sin ML, Erugrul N. (2003) Induction machine on-line condition monitoring and fault diagnosis—a survey. AUPEC2003, Australasian Universities Power Engineering Conference, Christchurch, New Zealand.
• [2] Colak I., Celik H., Sefa I., Demirbas S¸ (2005), ‘On line protection systems for induction motors. Energy Convers Manag’ 46(17): 2773-2786.
• [3] Colak I., Bayindir R., Bektas A., Sefa I., Bal G. (2007), ‘Protection of induction motor using PLC. International Conference on Power Engineering, Energy and Electrical Drives’, (POWERENG), pp 96-99, Portugal.
• [4] Bayindir R., Sefa I. (2007) Novel approach based on microcontroller to online protection of induction motors. Energy Convers Manag 48(3):850-856.
• [5] Bayindir R., Sefa I., Colak I., Bektas A. (2008), ‘Fault detection and protection of induction motors using sensors. IEEE Trans Energy Convers 23(3):734-741.
• [6] Cunkas M., Akkaya R., Ozturk A. (2000), ‘Protection of AC motors by means of microcontrollers’, 10th Mediterranean Electrotechnical Conference (MELECON), vol 3, pp 1093- 1096.
• [7] Okan Uyar, Mehmet Cunkas, "Fuzzy logic-based induction motor protection system",Neural Comput & Applic, Springer, 2012
• [8] Srinivas Gangisheeti, Tarakalyani Sandipamu ‘Different Control Schemes for Sensor Less Vector Control of Induction Motor’,International Journal of Power Electronics and Drive System (IJPEDS) Vol. 8, No. 2, June 2017, pp. 712~721 ISSN: 2088-8694, DOI: 10.11591/ijpeds.v8i2.pp 712-721
• [9] Takagi, Tomohiro, and Michio Sugeno. "Fuzzy identification of systems and its applications to modeling and control." IEEE transactions on systems, man, and cybernetics 1 (1985): 116- 132.
• [10] Nabil Farah, M. H. N. Talib, Z. Ibrahim, J. M. Lazi, Maaspaliza Azri,"Self-tuning Fuzzy Logic Controller Based on Takagi- Sugeno Applied to Induction Motor Drives",International Journal of Power Electronics and Drive System (IJPEDS) Vol. 9, No. 4, December 2018, pp. 1967~1975 ISSN: 2088-8694, DOI: 10.11591/ijpeds.v9.i4.pp 1967-1975.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).